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I conducted a small research to see how recent developments in AI will affect the comic book industry.
I’ve run two experiments one with Dall-E and anotherone with Midjourney (Stable Diffusion is on it’s way). In both examples, I used a script of Killing Joke by Alan Moore and and compared it with original.
Dall-E Experiment
Midjourney Experiment
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https://youtu.be/db0uUa5_cTE
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Hi there, I've uploaded a notebook file where you can test out the newest pytorch jit compile feature that works with Stable diffusion to further accelerate the inference time!
https://github.com/cloneofsimo/sd-various-ideas/blob/main/create_jit.ipynb This lets you create jit with Stable diffusion v1.4
https://github.com/cloneofsimo/sd-various-ideas/blob/main/inference_nvFuserJIT.ipynb This lets you use the jit compiled SD model to accelerate the sampling algorithm.
Currently only has DDIM implementation. I hope this helps for someone who is working with stable diffusions to further accelerate them or anyone interested in jit, nvFuser in general.
On single 512 x 512 image, 50 DDIM steps, it takes 3.0 seconds!
Im implementing various ideas (such as blended latent diffusion) with SD on this repo, https://github.com/cloneofsimo/sd-various-ideas , so give it a star if you find it helpful!
Output from AMP + nvFuser
https://preview.redd.it/pwtpex6diwm91.png?width=700&format=png&auto=webp&s=3d856529b2c4949a9359adaa8e41f5d12e98c64f
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Hi, wanted to shared some of the work we have been up to on the side of ML for olfaction.
Google AI Blogpost, which introduces three works:
A Principal Odor Map Unifies Diverse Tasks in Human Olfactory Perception
Metabolic activity organizes olfactory representations
A deep learning and digital archaeology approach for mosquito repellent discovery
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The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development.
The post Technical Debt In Machine Learning System – A Model Driven Perspective appeared first on Data Science Central.
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The last few years have seen rapid development in the field of natural language processing (NLP). Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large language models. Today, we announce new capabilities in Amazon SageMaker that […]
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In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Rekognition Custom Labels builds off of the pre-trained models in Amazon Rekognition, which […]
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To train a machine learning (ML) model, you need a large, high-quality, labeled dataset. Amazon SageMaker Ground Truth helps you build high-quality training datasets for your ML models. With Ground Truth, you can use workers from either Amazon Mechanical Turk, a vendor company of your choosing, or an internal, private workforce to enable you to […]
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Amp is a new live radio app from Amazon. With Amp, you can host your own radio show and play songs from the Amazon Music catalog, or tune in and listen to shows other Amp users are hosting. In an environment where content is plentiful and diverse, it’s important to tailor the user experience to […]
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Amp, the new live radio app from Amazon, is a reinvention of radio featuring human-curated live audio shows. It’s designed to provide a seamless customer experience to listeners and creators by debuting interactive live audio shows from your favorite artists, radio DJs, podcasters, and friends. However, as a new product in a new space for […]
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This is a guest blog post cowritten with athenahealth. athenahealth a leading provider of network-enabled software and services for medical groups and health systems nationwide. Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality […]
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For a couple of years now I've been using neural networks to generate daily drawing prompts. With today's text-generating neural networks far too large to finetune on a list of existing prompts, I've turned to other methods. One method that works surprisingly well is
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AI Weirdness: the strange side of machine learning
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Content Moderation means the moderation of the user-generated content which is getting published on various online platforms. The term…
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Hey all,
We have compiled a Reddit post and comment dataset for your analysis. It aims to contain all climate change discussion on Reddit in a set of CSV files - hopefully helping bridge real world problems with solutions based on online community data. You can use it to analyze misinformation, track trends, and many more (data science is an open field!)
You can download it here. Or here, if you are using Huggingface Datasets.
Enjoy!
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Release notes available here: https://github.com/openai/gym/releases/tag/0.26.0
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In their debut on the MLPerf industry-standard AI benchmarks, NVIDIA H100 Tensor Core GPUs set world records in inference on all workloads, delivering up to 4.5x more performance than previous-generation GPUs. The results demonstrate that Hopper is the premium choice for users who demand utmost performance on advanced AI models. Additionally, NVIDIA A100 Tensor Core Read article >
The post NVIDIA Hopper Sweeps AI Inference Benchmarks in MLPerf Debut appeared first on NVIDIA Blog.
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This GFN Thursday marks a milestone: With the addition of six new titles this week, more than 1,400 games are now available to stream from the GeForce NOW library. Plus, GeForce NOW members streaming to supported Smart TVs from Samsung and LG can get into their games faster with an improved user interface. Your Games, Read article >
The post GeForce NOW Supports Over 1,400 Games Streaming Instantly appeared first on NVIDIA Blog.
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Researchers develop a new method that uses multiple models to create more complex images with better understanding.
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Stable Diffusion web UI
A browser interface based on Gradio library for Stable Diffusion.
github: https://github.com/AUTOMATIC1111/stable-diffusion-webui
https://preview.redd.it/7vk3oijorim91.png?width=1594&format=png&auto=webp&s=8e6096c86b95ed1ed338b9501e2b5c586164d0e9
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I’ve been looking for an AI generator that can create something like this. It sort of creates an image similar to the base image and then keeps going, making more that copy off themselves. Anyone have any examples of programs that can do this?
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, […]
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Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable insights from them. These insights can help you continuously enhance the processes and products that directly improve the quality and experience for your customers. In many countries, such as India, English […]
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Despite increasingly widespread use of machine learning (ML) in all aspects of our lives, a broad class of scenarios still rely on automation designed by people, not artificial intelligence (AI). In real-world applications that involve making sequences of decisions with long-term consequences, from allocating beds in an intensive-care unit to controlling robots, decision-making strategies to […]
The post A game-theoretic approach to provably correct and scalable offline RL appeared first on Microsoft Research.
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Drupal is an open-source content management system that powers hundred of thousands of websites particularly high-traffic ones. It’s especially popular among professional developer for its adaptability and government website for its high level of security. In this piece, we’ll discuss why you might want to select Drupal, who Drupal is right for, and how to… Read More »6 Reasons Why You Need to Integrate Your Drupal Hosting With Cloudways
The post 6 Reasons Why You Need to Integrate Your Drupal Hosting With Cloudways appeared first on Data Science Central.
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Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
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Optimized Stable Diffusion
This repo is a modified version of the Stable Diffusion repo, optimized to use less VRAM than the original by sacrificing inference speed.
To achieve this, the stable diffusion model is fragmented into four parts which are sent to the GPU only when needed. After the calculation is done, they are moved back to the CPU. This allows us to run a bigger model while requiring less VRAM.
github: https://github.com/neonsecret/stable-diffusion
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An interview with Brenden Bartholomew, President of Vector Aerial, on the use of drones in both military and civilian contexts, as well as a discussion about how Drone AI works and where it's heading
The post The Cagle Report – Episode 1 – Send in the Drones appeared first on Data Science Central.
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When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind is transcription, also known as speech-to-text. However, there are other useful applications, including using ML to detect sounds. Using software to detect a sound is called audio event detection, and it has a number of […]
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Like two valedictorians, SimInsights and Photomath tell stories worth hearing about how AI is advancing education. SimInsights in Irvine, Calif., uses NVIDIA conversational AI to make virtual and augmented reality classes lifelike for college students and employee training. Photomath — founded in Zagreb, Croatia and based in San Mateo, Calif. — created an app using Read article >
The post Model Teachers: Startups Make Schools Smarter With Machine Learning appeared first on NVIDIA Blog.
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Viral creator turned NVIDIA 3D artist Lorenzo Drago takes viewers on a jaw-dropping journey through Toyama, Japan’s Etchū-Daimon Station this week In the NVIDIA Studio.
The post Ridiculously Realistic Renders Rule This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Data Science is a popular term nowadays. In fact, it’s one of the most sought-after jobs in the world. It can be applied to several fields…
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Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
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I'm not in this field but I'm very interested in being up to date with the latest, weekly and even daily, all things AI. The only two I know is 2 Minute Papers and Dr Alan D. Thompson.
I may have seen others but were very low quality (sensationalism).
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Hey folks! I am just overwhelmed that my AI project was selected by Arm for their upcoming AI Tech Talk. I will present my solution for farmers that helps them avoid fake poor-quality agrochemicals on Sep 20th, at 8:00 AM PT. This is my first webinar of such scale and I would appreciate if you support my project by joining me: https://armltd.zoom.us/webinar/register/4016582497950/WN_fJE_6UT_Q1GCfygq8Ll4tw
Hope to see you!
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Code: https://github.com/gordicaleksa/stable_diffusion_playground
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Justin Pinkey has been experimenting with fine-tuning stable diffusion to use CLIP image embedding as the conditioning instead of a text prompt. This allows you do do the dalle2 like "image variations"
tweet: https://twitter.com/Buntworthy/status/1566744186153484288
github: https://github.com/justinpinkney/stable-diffusion
demo made with gradio: https://github.com/gradio-app/gradio
https://preview.redd.it/9jbdu4n1g2m91.jpg?width=3294&format=pjpg&auto=webp&s=716de69799bf14dcb2b84461f21832b679406e22
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I am training some generative models and need to showcase the generated images.
1) The images I will show when clicked should have related images from the dataset to show their similarity. Much like https://www.robots.ox.ac.uk/~vgg/software/vise/index.html
2) I also want to allow the users to input images and generate a sample using that.
I know there are some tools like Gradio. Are there any other tools available for this purpose?
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In the past few years, blockchain technology has turned out to be a phenomenal technology. The novel attributes of blockchain technology are making business processes more efficient, more secure, and more transparent and are taking the industry toward a new ‘decentralized’ direction.
The post Learn Blockchain Technology to Build A Futuristic Career appeared first on Data Science Central.
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SVG is an example of one of the more powerful technologies on the web that is likely completely invisible to you, whether you're simply browsing on the web or you're a web developer wanting to take advantage of your full toolset.
The post Imaging the Web With Scalable Vector Graphics appeared first on Data Science Central.
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Cancer is partially a developmental illness, with malignancies named for the cell or tissue from which they originate. However, there is no systematic atlas of tumor sources. Identifying a patient’s precise type of cancer and its main site is the first step in deciding on the best course of treatment.
Despite extensive testing, the source of cancer cannot be determined in many situations. Oncologists must employ non-targeted medicines with severe side effects and poor survival rates.
Researchers at Massachusetts General Hospital (MGH) and the Koch Institute for Integrative Cancer Research at MIT may help classify cancers of unknown primary. Their work introduces a new deep learning method by closely examining the gene expression patterns related to early cell development and differentiation.
Continue reading | Check out the paper
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Blockchain technology has outgrown from being distributed ledger in financial applications to peer‐to‐peer networks that hold tremendous value in any industry and sector. Bewildering as the growth has been, organizations are engineering their blockchain.
The post Lack of Trust Continues to Erode Blockchain Adoption appeared first on Data Science Central.
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End-user experience monitoring (EUEM) enables IT professionals to understand issues from the viewpoint of end users, deliver a better customer experience, and fix issues more quickly by constantly capturing failures, breakdowns, page load data, network requests, and other metrics.
The post What is Digital Experience Monitoring (DEM)? appeared first on Data Science Central.
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What is CDN, does it endanger the sensitive data of internet users, and how can companies prevent hackers from exploiting its flaws?
The post CDN: Does Our Need For Internet Speed Put Sensitive Data at Risk? appeared first on Data Science Central.
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Iterating through HTML tables can be tricky, so we've created this simple guide to help you understand how to use Python to extract tabular data from public HTML tables.
The post How to Use Python to Loop Through HTML Tables and Scrape Tabular Data appeared first on Data Science Central.
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Data-centric architecture revisits architecture and turns that architecture on its head. Ever since the dawn of client-server computing, applications have been the focus of enterprise IT buyers.
The post What’s Data-Centric Architecture? appeared first on Data Science Central.
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Blockchain has a chequered history.
The post The AI Vegan – A real use case for NFT/ Blockchain? appeared first on Data Science Central.
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In today’s data-driven economy, any business needs to make sure that their data is easily recoverable and secured in an emergency. The National Archives and Records Administration suggests that close to 93% of the organizations which witness downtime and data loss for over ten and more days can file bankruptcy in a year. No wonder… Read More »Reaping the Benefits of Having a Data Backup and Recovery Plan
The post Reaping the Benefits of Having a Data Backup and Recovery Plan appeared first on Data Science Central.
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Alongside the explosion in enterprise data analytics is the growing realisation that insights, without action, are not enough.
The post Data Storytelling: Meshing Narrative Techniques with Data Science Smarts appeared first on Data Science Central.
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Businesses, whether big or small, know that understanding data is essential to making informed decisions that impact the organization’s bottom line.
The post Reengineer Business Decisions Granularly with Automated Data Collection appeared first on Data Science Central.
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Hi there,
I have set up a basic implementation for Dual Numbers in Python that can be used for automatic differentiation. Here is an example that is also part of the repository:
Gradient descent with dual numbers.
The implementation is pretty simple and therefore easy to understand.
https://github.com/kaifishr/PyDualNumber
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The dataset is geared towards computer vision-powered motorcycle helmets or other inventive avenues.
Get the dataset here: https://www.kaggle.com/datasets/sadhliroomyprime/motorcycle-night-ride-semantic-segmentation
Six standard classes are used which are: Undrivable, Road, Lanemark, My bike, Rider, Movable
Movable denotes moving objects e.g. vehicles, people etc., undrivable denoting areas where one cannot ride to. Other classes are self-explanatory inclusive of road, lanemark (inclusive of reflectors), rider, and, of course, the bike itself.
We have used SuperAnnotate’s pixel editor as the tool for the semantic segmentation. It works on a raster logic as opposed to a vector one. Exporting include the COCO format. We have prepackaged the dataset inclusive of fused images.
Dataset is created by Acme AI Ltd. (www.acmeai.tech) and is #openaccess 😊 😊. Use it to your heart's content.
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https://youtu.be/2ethDz9KnLk
Did you know that something as simple as loading a model can execute arbitrary code on your machine?
Try the model: https://huggingface.co/ykilcher/totally-harmless-model
Get the code: https://github.com/yk/patch-torch-save
OUTLINE:
0:00 - Introduction
1:10 - Sponsor: Weights & Biases
3:20 - How Hugging Face models are loaded
5:30 - From PyTorch to pickle
7:10 - Understanding how pickle saves data
13:00 - Executing arbitrary code
15:05 - The final code
17:25 - How can you protect yourself?
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this video shows you how you can install stable-diffuison on almost any computer regardless of your graphics card and use an easy to navigate website for your creations. It renders slowly but it works.
video: https://www.youtube.com/watch?v=iwHfsDTD8U0
github repo: https://github.com/darkhemic/stable-diffusion-cpuonly
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This is a guest post by Ramzi Alqrainy, Chief Technology Officer, The Chefz. The Chefz is a Saudi-based online food delivery startup, founded in 2016. At the core of The Chefz’s business model is enabling its customers to order food and sweets from top elite restaurants, bakeries, and chocolate shops. In this post, we explain […]
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Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural language processing now require training of deep learning models, which are growing exponentially in complexity and are often trained with hundreds of terabytes of data. It then becomes important to use […]
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As a writer, you know the importance of creating high-quality content. Not only does quality content help your website or blog stand out…
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AI Weirdness: the strange side of machine learning
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Hi, this talk looks like another good example of how we can help prevent climate change.
It looks like there are 25 other amazing talks too at PyBay2022, happening in-person in San Francisco AND ONLINE, NEXT SATURDAY Sept 10.
https://pybay.com/talklist/
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What do you all think?
Is the solution of keeping it all for internal use, like Imagen, or having a controlled API like Dall-E 2 a better solution?
Source: https://twitter.com/negar_rz/status/1565089741808500736
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Hey folks! I am just overwhelmed that my AI project was selected by Arm for their upcoming AI Tech Talk. I will present my solution for farmers that helps them avoid fake poor-quality agrochemicals on Sep 20th, at 8:00 AM PT. This is my first webinar of such scale and I would appreciate if you support my project by joining me: https://armltd.zoom.us/webinar/register/4016582497950/WN_fJE_6UT_Q1GCfygq8Ll4tw
Hope to see you!
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Excellent case study regarding the collection and processing of large amounts of data while complying with GDPR in the autonomous driving industry: https://www.youtube.com/watch?v=DPeqEeSKTYA&t=22s
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A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
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This month’s NVIDIA GTC provides the best opportunity yet to learn how leading companies and their designers, planners and operators are using the industrial metaverse to create physically accurate, perfectly synchronized, AI-enabled digital twins. The global conference, which runs online Sept. 19-22, will focus in part on how NVIDIA Omniverse Enterprise enables companies to design Read article >
The post NVIDIA GTC Dives Into the Industrial Metaverse, Digital Twins appeared first on NVIDIA Blog.
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We’d wake you up when September ends, but then you’d miss out on a whole new set of games coming to GeForce NOW. Gear up for 22 games joining the GeForce NOW library, with 19 day-and-date releases including action role-playing game Steelrising. Playing them all will take some serious strategy. And build the perfect Minifigure Read article >
The post GFN Thursday Slides Into September With 22 New Games appeared first on NVIDIA Blog.
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Bias detection in data and model outcomes is a fundamental requirement for building responsible artificial intelligence (AI) and machine learning (ML) models. Unfortunately, detecting bias isn’t an easy task for the vast majority of practitioners due to the large number of ways in which it can be measured and different factors that can contribute to […]
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submitted by /u/kenickh
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dataset
I have an issue with the number of instances:
only one mask
https://dip4fish.blogspot.com/2022/09/train-and-prediction-with-lightning.html
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Show your visualizations in a web based layout using plotly Dash
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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Here's a link to the post discussing this topic - https://exafunction.com/blog/are-gpus-worth-it
At Exafunction, we've noticed a lot of companies CPUs for machine learning inference workloads. We wrote this post to add some color on this and explain why generally GPUs, if managed properly, are the right hardware for these workloads.
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Hey everyone, today I published 1st video regarding "How you can perform neural Architecture Search without training". Do checkout the video. https://www.youtube.com/watch?v=5Iw9pPdXPzI
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NVIDIA is collaborating with the United Nations Economic Commission for Africa (UNECA) to equip governments and developer communities in 10 nations with data science training and technology to support more informed policymaking and accelerate how resources are allocated. The initiative will empower the countries’ national statistical offices — agencies that handle population censuses data, economic Read article >
The post UN Economic Commission for Africa Engages NVIDIA to Boost Data Science in 10 Nations appeared first on NVIDIA Blog.
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In the NVIDIA Studio celebrates the Open Broadcaster Software (OBS) Studio’s 10th anniversary and its 28.0 software release. Plus, popular streamer WATCHHOLLIE shares how she uses OBS and a GeForce RTX 3080 GPU in a single-PC setup to elevate her livestreams.
The post OBS Studio to Release Software Update 28.0 With NVIDIA Broadcast Features ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Data is the fuel that makes artificial intelligence run. Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems’ results. But compiling quality real-world data for AI and ML can be difficult and expensive. That’s where synthetic data comes in. The guest for this week’s Read article >
The post Rendered.ai Founder and CEO Nathan Kundtz on Using AI to Build Better AI appeared first on NVIDIA Blog.
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Happy to share that our study on designing DNA sequences to control gene expression using generative deep learning is just out!
https://www.nature.com/articles/s41467-022-32818-8
This is a continuation of our previous work, where we learned to 'read' regulatory DNA using deep neural nets, accurately predicting gene expression levels in multiple organisms and finding predictive regulatory grammar across whole gene regulatory regions.
https://www.nature.com/articles/s41467-020-19921-4
Here we combine the predictive models with advanced generative models in an architecture termed ExpressionGAN that can be used to 'write' (design) de novo regulatory DNA with target gene expression levels.
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One of the central concepts of the metaverse is the notion that every person has a single sign-on controlled by the vendors, which can, in turn, be used to track users as they move from one virtual world to another.
The post DSC Weekly 30 August 2022 – Metaverse Misfires appeared first on Data Science Central.
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Webby data architects and modelers–the spider-like ones who use intelligent graph design and a bit of glue or another sticky substance to achieve their objectives–are focused on making joinery much more efficient and scaling a lot more useful with the help of more contextualized data.
The post Semantic Graph as the Next Step for Web Data Architecture appeared first on Data Science Central.
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This article is intended to users relying on machine learning solutions offered by third party vendors. It applies to platforms, dashboards, traditional software, or even external pieces of code that are too time consuming to modify. One of the goals is to turn such systems into explainable AI.
The post How to Make Black-box Systems more Transparent appeared first on Data Science Central.
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Technical Debt describes what results when development teams take conscious actions to expedite the delivery of a piece of functionality or a project which later needs to be remediated via refactoring.
The post A Model For Technical Debt In Machine Learning Systems appeared first on Data Science Central.
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The PyTorch team recently released a Deep Learning Compiler for NVIDIA GPUs called nvFuser. This compiler automatically creates quick, adaptable kernels, speeding up user networks. Creating quick bespoke “fusion” kernels at runtime also significantly accelerates deep learning networks running on Volta and later CUDA accelerators. The new and updated compiler, nvFuser, supports a variety of network architectures as well as applications with dynamic inputs of different shapes and strides and has been specially created to address the particular needs of the PyTorch community. In order to optimize and accelerate PyTorch operations, nvFuser uses graphical representations. Users’ PyTorch operations are not directly accessible as a complete program that a system like nvFuser can optimize because PyTorch uses an eager execution approach. As a result, there is a need for intermediary systems that can translate user programs into a format that nvFuser can optimize. These more advanced methods send the captured operations to nvFuser, which can subsequently tailor the user’s script execution for NVIDIA GPUs.
Continue reading |Github link | Reference article
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Reinventing enterprise computing for the modern era, VMware CEO Raghu Raghuram Tuesday announced the availability of the VMware vSphere 8 enterprise workload platform running on NVIDIA DPUs, or data processing units, an initiative formerly known as Project Monterey. Placing the announcement in context, Raghuram and NVIDIA founder and CEO Jensen Huang discussed how running VMware Read article >
The post NVIDIA and VMware CEOs Discuss New Era of Enterprise Computing appeared first on NVIDIA Blog.
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With personalized content more likely to drive customer engagement, businesses continuously seek to provide tailored content based on their customer’s profile and behavior. Recommendation systems in particular seek to predict the preference an end-user would give to an item. Some common use cases include product recommendations on online retail stores, personalizing newsletters, generating music playlist […]
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On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
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https://github.com/JoaoLages/diffusers-interpret
Looking for contributors to improve this package!
Generated image for the phrase \"A cute corgi with the Eiffel Tower in the background\"
Word importances for the selected region
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https://www.serkansulun.com/midi/
Here is my recent research project. The website has music samples, and links to the paper and the code. It allows conditioning on an arbitrary emotions, using valence-arousal values, and generates 5-instrument (strings, guitar, bass, piano, drums) rock and pop songs. I hope you find it useful.
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Vanessa Rosa’s art transcends time: it merges traditional and contemporary techniques, gives new life to ancient tales and imagines possible futures.
The post Meet the Omnivore: Artist Fires Up NVIDIA Omniverse to Glaze Animated Ceramics appeared first on NVIDIA Blog.
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On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Customers are increasingly adopting multi-account architectures for deploying and managing machine […]
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Data preparation is the process of collecting, cleaning, and transforming raw data to make it suitable for insight extraction through machine learning (ML) and analytics. Data preparation is crucial for ML and analytics pipelines. Your model and insights will only be as reliable as the data you use for training them. Flawed data will produce […]
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The Metaverse is seen as the fourth wave of computing and networking - the first three being the mainframe, personal computing, and mobile + cloud. Yet, In contrast to the previous waves, the Metaverse adds 3D experience, or immersion.
The post A Comprehensive Definition of the Metaverse appeared first on Data Science Central.
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https://www.youtube.com/watch?v=KJOZEwJ3w0o&ab_channel=JohannezzMusic
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Reptile was developed by open ai and it'll open yo eye🗿
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https://deumbra.com/2022/08/rllib-for-deep-hierarchical-multiagent-reinforcement-learning/
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According to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, while only 20% of it is left for actual data analysis. Organizations that don’t utilize master data management systems or data warehouses to keep their data clean and accurate end up basing crucial business decisions on bad data. … Read More »Data cleansing for reliable analytics and business intelligence
The post Data cleansing for reliable analytics and business intelligence appeared first on Data Science Central.
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In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]
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Organizations in the lending and mortgage industry process thousands of documents on a daily basis. From a new mortgage application to mortgage refinance, these business processes involve hundreds of documents per application. There is limited automation available today to process and extract information from all the documents, especially due to varying formats and layouts. Due […]
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https://preview.redd.it/8vrzhm8l4xj91.jpg?width=640&format=pjpg&auto=webp&s=9a5e7fb4694981d9f9184a9fdc099c96273c60a4
https://preview.redd.it/vyrc59624xj91.png?width=1350&format=png&auto=webp&s=b25f1b106ad5c97ed62e8ed8088b3e3a43991480
colab for img2img: https://colab.research.google.com/drive/1NfgqublyT_MWtR5CsmrgmdnkWiijF3P3?usp=sharing
colab for inpainting: https://colab.research.google.com/drive/1whhIiXxjQjbBuiq4lqwh-AlLIjh3l1OB
demo built with gradio: https://github.com/gradio-app/gradio
hosted web demo for stable diffusion: https://huggingface.co/spaces/stabilityai/stable-diffusion
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The latest solution from the Colossal-AI team (https://github.com/hpcaitech/ColossalAI) and BioMap for protein monomer and multimer structure prediction, xTrimo Multimer, has recently become open-source to the public. This new solution can predict both monomer and multimer structure simultaneously accelerating the process by up to 11 times!
https://preview.redd.it/xeg7wb79btj91.png?width=852&format=png&auto=webp&s=5a9308c9e87691e8a6082d9d3926f10a87e272a6
The hero behind is Colossal-AI, which is a powerful deep learning system that aims to make large AI model training easy and accessible in the community and industry. By integrating large model training techniques and optimizations provided by Colossal-AI, we can significantly reduce the time and cost of both protein monomer and multimer …
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Machine learning (ML) model deployments can have very demanding performance and latency requirements for businesses today. Use cases such as fraud detection and ad placement are examples where milliseconds matter and are critical to business success. Strict service level agreements (SLAs) need to be met, and a typical request may require multiple steps such as […]
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In the digital world, providing information in a local language isn’t novel, but it can be a tedious and expensive task. Advancements in machine learning (ML) and natural language processing (NLP) have made this task much easier and less expensive. We have seen increased adoption of ML for multi-lingual data and document processing workloads. Enterprise […]
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Looking for a change of art? Try using AI — that’s what 3D artist Nikola Damjanov is doing. Based in Serbia, Damjanov has over 15 years of experience in the graphics industry, from making 3D models and animations to creating high-quality visual effects for music videos and movies. Now an artist at game developer company Read article >
The post 3D Artist Creates Blooming, Generative Sculptures With NVIDIA RTX and AI appeared first on NVIDIA Blog.
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E-commerce sales have skyrocketed as more people shop remotely, spurred by the pandemic. But this surge has also led fraudsters to use the opportunity to scam retailers and customers, according to David Sutton, director of analytical technology at fintech company Featurespace. The company, headquartered in the U.K., has developed AI-powered technology to increase the speed Read article >
The post Fintech Company Blocks Fraud Attacks for Financial Institutions With AI and NVIDIA GPUs appeared first on NVIDIA Blog.
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Some weeks, GFN Thursday reveals new or unique features. Other weeks, it’s a cool reward. And every week, it offers its members new games. This week, it’s all of the above. First, Saints Row marches into GeForce NOW. Be your own boss in the new reboot of the classic open-world criminal adventure series, now available Read article >
The post GFN Thursday Adds ‘Saints Row,’ ‘Genshin Impact’ on Mobile With Touch Controls appeared first on NVIDIA Blog.
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What would it take to get humanoid, bipedal robots to dance like Mick Jagger? Indeed, for something more mundane, what does it take to get them to simply stand still? Sit down? Walk? Move in myriads of other ways many people take for granted? Bipedalism provides unparalleled versatility in an environment designed for and by […]
The post MoCapAct: Training humanoid robots to “Move Like Jagger” appeared first on Microsoft Research.
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What is neural network ?
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Hello all!
This weekend I wrote: goa-loader, National Gallery of Art Open Data Program tf.data.Dataset Loader and generative modeling to accompany
Let me know if you use the loader. Open to PRs to add GANs or anything else interesting, enjoy!
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https://preview.redd.it/kzr84j69dnj91.png?width=2228&format=png&auto=webp&s=df30cd90fd3486f83e5630eaee782eaac1e0a197
More info at https://outsystems-ai-reading-group.github.io/
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https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ mentions that neural networks learn a representation of the data so as to make the classes linearly separable. What I fail to see is how does a neural network create a separating hyperplane that separates the classes. How do we know that it creates a hyperplane? What's the math behind it?
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Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
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Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
Introduction
Our
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In the AWS Deep Learning Challenge held from January 5, 2022, to March 1, 2022, participants from academia, startups, and enterprise organizations joined to test their skills and train a deep learning model of their choice using Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances and Habana’s SynapseAI SDK. The EC2 DL1 instances powered by […]
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A year ago we presented a new position embedding method. It's now used in BigScience's BLOOM model and in a few other models.
I just uploaded a video lecture where I explain this ALiBi method and also talk about lots of other topics related to training large language models
https://www.youtube.com/watch?v=Pp61ShI9VGc
I discuss why transformers overfit to the commonly used absolute (learned/sinusoidal) position embeddings and I discuss paths for future work in long-sequence modeling.
Feel free to ask any questions here :)
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Upscaled in Photoshop Beta
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Hey everyone! The Learn AI Together community is getting bigger and bigger with more and more people learning AI, we would love to find more enthusiastic professionals (junior,mid-level, senior..), and grad students, TAs or professors willing to help and exchange with people learning AI by answering questions from time to time.
We are an AI-enthusiasts community of over 28'000 people now where members can chat, ask questions, share resources and projects, find people to work with, find job offers, etc. We are now focusing on getting experts or advanced members to join us and help us help others.
More info about the community and how to join us (free): Learn AI Together
Excited to chat with you there!
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A graph with five billion people (nearly everyone on the Internet) brings up both ethical questions and opportunities.
The post DSC Weekly 23 August 2022: Five Billion Person Graph – Grand Achievement or Wakeup Call? appeared first on Data Science Central.
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Moving Picture, Audio, and Data Coding by Artificial Intelligence (MPAI), an international unaffiliated not-for-profit organization, develops AI-based Data Coding standards with associated clear licensing frameworks.
The post The MPAI-AIF V2 Call for Technologies appeared first on Data Science Central.
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Now with Amazon Forecast, you can seamlessly conduct what-if analyses up to 80% faster to analyze and quantify the potential impact of business levers on your demand forecasts. Forecast is a service that uses machine learning (ML) to generate accurate demand forecasts, without requiring any ML experience. Simulating scenarios through what-if analyses is a powerful […]
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AI Centers of Excellence are organizational units dedicated to implementing a company-wide AI vision. They help identify business use cases, create an implementation roadmap, accelerate adoption, assess impact and more. NVIDIA GTC, a global conference on AI and the metaverse, brings together the world’s top business and technology leaders who’ve embraced artificial intelligence to transform Read article >
The post Learn How Leading Companies Are Building AI Centers of Excellence, at NVIDIA GTC appeared first on NVIDIA Blog.
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Floods in Kentucky and wildfires in California are the kinds of disasters companies of all sorts are trying to address with AI. Tom Rikert, co-founder and CEO of San Francisco-based startup Masterful AI, is one of many experts helping them manage catastrophe risk. In the U.S. alone, the National Association of Insurance Commissioners estimates that Read article >
The post Shelter From the Storm: AI Helps Gauge Catastrophe Risks appeared first on NVIDIA Blog.
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Recent AI advances enable modeling of weather forecasting 4-5 magnitudes faster than traditional computing methods. The brightest leaders, researchers and developers in climate science, high performance computing and AI will discuss such technology breakthroughs — and how they can help foster a greener Earth — at NVIDIA GTC. The virtual conference, running Sept. 19-22, also Read article >
The post Predict, Detect, Mitigate: AI for Climate Science Takes the Stage at NVIDIA GTC appeared first on NVIDIA Blog.
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A triple threat steps In the NVIDIA Studio this week: a tantalizing trio of talented 3D artists who each reimagined and remastered classic European buildings with individualistic flair.
The post 3D Artists Reimagine, Remaster Iconic European Architecture This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Find impressive examples of ML that we use every day.
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In case you haven't noticed, stability.ai just open-sourced their latest version of StableDiffusion to the public. Here is the link: https://stability.ai/blog/stable-diffusion-public-release
It is so fast and small (memory footprint) that it can run on consumer grade GPUs. I just generated my first "astronaut riding a horse on mars" on my local GTX3090.
Astronaut riding a horse on mars
So what is opinion on open-sourcing such powerful models ? And, what do you think about stability.ai as an organisation ? Do you feel they can potentially be the next OpenAI ?
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10 years ago I had the idea to write a children’s book about the joy and difficulties of building something; That idea was there but the hassle and cost of illustration always prevented me from finishing the book.
Recently, Dall-E was launched and I excitedly used it for my children's book illustrations. You can see the result and also issues I faced such as maintaining a consistent art style and face removal.
https://medium.com/@rwanghacker/creating-and-illustrating-a-childrens-book-with-dall-e-in-less-than-a-week-813ee85f2225
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Due to domain issues, the up-to-date documentation for Gym is now hosted at https://gymlibrary.dev
The documentation is maintained by the Farama Foundation on GitHub, and contributions are always welcome!
The best way to get in touch with the team is on the Discord server
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Blockchain appears to be establishing the foundation of a new economic system, though significant challenges remain.
The post Blockchain Technology: The Potential to Change the Future appeared first on Data Science Central.
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Knowledge management is refactoring the way that organizations work.
The post How Knowledge Management Can Reshape Business Operations appeared first on Data Science Central.
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While Knowledge Graph hype is nowhere near as loud as AI hype, there is no question that more and more organizations are turning to knowledge graphs to solve real-world problems.
The post From Knowledge Graphs To Knowledge Portals appeared first on Data Science Central.
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Amazon Kendra is an intelligent search service powered by machine learning (ML). With Amazon Kendra, you can easily aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer. Many organizations use the content management platform Alfresco to store […]
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An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
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Workspace security can be a fiddly money drain, especially for corporations that deal with sensitive information, or run multiple offices…
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Watching out for the nearly-extinct two-ton beasts may be the ultimate example of a job best done remotely.
The post An AI-Enabled Drone Could Soon Become Every Rhino Poacher’s… Horn Enemy appeared first on NVIDIA Blog.
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Sipeed TinyMaix is an open-source machine learning library designed for microcontrollers. According to findings, it is lightweight enough to be compatible with Microchip ATmega328 MCU found in the Arduino UNO board and its many clones.
The core code of TinyMax, which was created during a weekend hackathon, has roughly 400 lines, a binary size of about 3KB, and uses very little RAM, allowing it to execute the MNIST handwritten digit classification on an ATmega320 MCU with only 2KB SRAM and 32KB flash.
Continue reading | Github
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I wrote a post on how to virtualise GPUs and attach them to VMs for on-prem workloads. The VMs can then be attached to Juju & K8S for load balancing or whatever you want. I implemented this where I work and it runs all of our ML compute, it was a pain to get working originally hope that you find it useful:
https://www.paulcjh.com/technical_posts/gpu_virtualisation.html
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What’s NNext?
[Say “Next”]
NNext is a blazingly fast ⚡️, open-source 📖, (vector) neural search 🔎 engine for building delightful AI Apps 🦾.
Github: https://github.com/nnextdb/nnext
Applications
Vector search is a key concept in modern machine learning systems. It’s the technology behind
🎖 Recommendation systems (such as Instagram’s “Explore” page).
🔎 Search system of all kinds
Text search. For instance google’s “related search”
Image Search. Such as reverse image search.
🤖 Chatbots and question answering systems
🧼 Data cleaning and pre-processing. Used to de-duplicate data representing similar items.
🏹 One-shot/zero-shot learning
🧌 Fraud and outlier detection
Problem
Existing vector search packages are usually in the form of open-source packages released by la…
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Implementation & LM Eval Harness Results
LLM.int8() Paper
LLM.int8() r/MachineLearning discussion
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In four talks over two days, senior NVIDIA engineers will describe innovations in accelerated computing for modern data centers and systems at the edge of the network. Speaking at a virtual Hot Chips event, an annual gathering of processor and system architects, they’ll disclose performance numbers and other technical details for NVIDIA’s first server CPU, Read article >
The post NVIDIA to Share New Details on Grace CPU, Hopper GPU, NVLink Switch, Jetson Orin Module at Hot Chips appeared first on NVIDIA Blog.
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Imagine taking a selfie and using it to get a moving, talking, customizable 3D avatar of yourself in just seconds.
The post Meet the Omnivore: Startup in3D Turns Selfies Into Talking, Dancing Avatars With NVIDIA Omniverse appeared first on NVIDIA Blog.
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In the last 10 years, healthcare has been one of the fastest-growing sectors of the economy, i.e., the global economy as a whole. As…
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So much data, so little time. Machine learning (ML) experts, data scientists, engineers and enthusiasts have encountered this problem the world over. From natural language processing to computer vision, tabular to time series, and everything in-between, the age-old problem of optimizing for speed when running data against as many GPUs as you can get has […]
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One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. An automated, integrated solution is needed for deeper […]
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https://deoxyribose.github.io/No-Shortcuts-to-Knowledge/
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Most of the time, when I try to implement (and understand) a new code on GitHub I feel overwhelmed by the complexity of it. In my opinion, one of the hardest part is trying to understand its structure and how it works.
When you are facing this issue, what is your modus operandi? Does it make sense to produce a map of the code structure? Does it make sense to spend a bit of time to create it while digging into it? If you are already doing it, is there any tool that produces an automatic map of the code?
An example can be found here: https://github.com/dvlab-research/ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions/raw/main/figs/model_mind_flow.png
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When Rachel Carpenter and Joseph French founded Intrinio a decade ago, the fintech revolution had only just begun. But they saw an opportunity to apply machine learning to vast amounts of financial filings to create an alternative data provider among the giants. The startup, based in St. Petersburg, Fla., delivers financial data to hedge funds, Read article >
The post Startup Digs Into Public Filings With GPU-Driven Machine Learning to Serve Up Alternative Financial Data Services appeared first on NVIDIA Blog.
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AI and the metaverse are revolutionizing every aspect of the way we live, work and play — including how we move. Leaders in the automotive and technology industries will come together at NVIDIA GTC to discuss the newest breakthroughs driving intelligent vehicles, whether in the real world or in simulation. The virtual conference, which runs Read article >
The post Boldly Go: Discover New Frontiers in AI-Powered Transportation at GTC appeared first on NVIDIA Blog.
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Cameras have been deployed in factories for over a decade — so why, Franz Tschimben wondered, hasn’t automated visual inspection yet become the worldwide standard? This question motivated Tschimben and his colleagues to found Covision Quality, an AI-based visual-inspection software startup that uses NVIDIA technology to transform end-of-line defect detection for the manufacturing industry. “The Read article >
The post Startup’s Vision AI Software Trains Itself — in One Hour — to Detect Manufacturing Defects in Real Time appeared first on NVIDIA Blog.
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Class is in session this GFN Thursday as GeForce NOW makes the up-grade with support for higher resolutions and frame rates in Chrome browser on PC. It’s the easiest way to spice up a boring study session. When the lecture is over, dive into the six games joining the GeForce NOW library this week, where Read article >
The post Easy A: GeForce NOW Brings Higher Resolution and Frame Rates for Browser Streaming on PC appeared first on NVIDIA Blog.
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By 2022, the AI in FinTech market will be worth $7.25 billion. Artificial Intelligence (AI) is driving a new wave in FinTech. From banks to…
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A new lecture from Andrej Karpathy on his YouTube channel: https://www.youtube.com/watch?v=VMj-3S1tku0
This is the most step-by-step spelled-out explanation of backpropagation and training of neural networks. It only assumes basic knowledge of Python and a vague recollection of calculus from high school.
According to Karpathy, "this is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop."
He also mentions, "If you know Python, have a vague recollection of taking some derivatives in your high school, watch this video and not understand backpropagation and the core of neural nets by the end then I will eat a shoe :D"
Link to the YouTube video: https://www.youtube.com/watch?v=VMj-3S1tku0
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https://forms.gle/rPKmuN611VeLmZaNA
I'm conducting a survey to understand awareness, attitudes and readiness of high school students towards Artificial Intelligence.
The study will look at different aspects such as opportunities, risks, and ethics of AI, and also education necessary for high schoolers to improve their understanding. The results will be published as part of a detailed report.
Your inputs are valuable in understanding how students learn and think about AI.
All responses will be kept confidential and data is analysed only at the aggregate level.
The “best” five responses will get a Rs 1000 amazon gift card each. The winners will be selected by, you guessed it, an algorithm.
Thank You!
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The AWS website is currently available in 16 languages (12 for the AWS Management Console and for technical documentation): Arabic, Chinese Simplified, Chinese Traditional, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Thai, Turkish, and Vietnamese. Customers all over the world gain hands-on experience with the AWS platform, products, and services in their […]
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We are excited to announce that Amazon Personalize now supports incremental bulk dataset imports; a new option for updating your data and improving the quality of your recommendations. Keeping your datasets current is an important part of maintaining the relevance of your recommendations. Prior to this new feature launch, Amazon Personalize offered two mechanisms for […]
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Mapping the immune system could lead to the creation of drugs that help our bodies win the fight against cancer and other diseases. That’s the big idea behind immunotherapy. The problem: the immune system is incredibly complex. Enter Immunai, a biotech company that’s using cutting-edge genomics & ML technology to map the human immune system Read article >
The post Immunai Co-Founder Luis Voloch on Using Deep Learning to Develop New Drugs appeared first on NVIDIA Blog.
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What are your favourite RSS/Atom feeds you consume to stay up to date with all things AI/ML in terms of News sites, Podcasts, Blogs or even YouTube channels?
Ideally anything that isn't already covered by sites like allainews.com.
Things like:
research, innovations
new libraries & how to use them
products/tech related to AI/ML
educational stuff, how to get into AI/Data Science
anything else that's related
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Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and identify objects in images that are specific and unique to your business. Rekognition Custom Labels doesn’t require you to have any prior computer vision expertise. For example, you can find your logo in social […]
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Medical imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), medical x-ray imaging, ultrasound imaging, and others are commonly used by doctors for various reasons. Some examples include detecting changes in the appearance of organs, tissues, and vessels, and detecting abnormalities such as tumors and various other type of pathologies. Before doctors can use […]
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We're currently working on a new open-source notebook to shape the future of building data pipelines.
We would love for you to test out our current version in a collaborative effort to create better workflows for data scientists (and other data and machine learning professionals).
Repo: https://github.com/mage-ai/mage-ai
More about Mage: https://mage.ai
Join our slack community: https://mage.ai/chat
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Detectron2 is a very popular PyTorch-based library for detection tasks. Although it has optimal implementations of many detection and segmentation models, it does not provide a good way to deploy the models to production. I share in the post below how I deployed Detectron2 models with Triton inference server (an inference system developed by NVIDIA). Hope you find it's helpful!
https://tintn.github.io/deploy-detectron2-with-triton/
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Hi,
We recently were building a simple model training as a service for GPU jobs and came across run.ai.
There has been mentions of GPU virtualization but not quite sure how to use it with the existing Kubernetes setup of ours.
Are there any organisations using Run AI currently? Are there any opensource alternatives for the same?
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What are your favourite RSS/Atom feeds you consume to stay up to date with all things AI/ML in terms of News sites, Podcasts, Blogs or even YouTube channels?
Ideally anything that isn't already covered by sites like allainews.com.
Things like:
research, innovations
new libraries & how to use them
products/tech related to AI/ML
educational stuff, how to get into AI/Data Science
anything else that's related
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Available at: https://github.com/google-research/dataclass_array
`dataclass_array` allow to have structured data that can be of arbitrary batch shape. For example:
Defining a dataclass array:
@dataclasses.dataclass(frozen=True) class Ray(dca.DataclassArray): pos: FloatArray['*batch_shape 3'] dir: FloatArray['*batch_shape 3']
Dataclass array can then be manipulated as if they were ndarray, while keeping the internal semantic structure
rays = camera.rays() # Returns `Ray` with shape `(h, w)` rays.shape == (h, w) rays.pos.shape == (h, w, 3) # Individual ndarray fields accessible rays = rays.reshape('h w -> w h') # Native einops support rays = rays.flatten() rays = rays[..., :30] rays = rays[rays.norm() > 0] # Masking, filtering rays = rays.as_jax() # Native Jax, TF, NumPy... support
For an example of dataclass_array used in practice, see: https://github.com/google-research/visu3d
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In its initial stages of development, Blockchain Technology is predicted to top $2 billion in three years. We’re living in an era of super-smart intelligent machines, rather, now, our future lies in being more human and less like a machine. This is how the consequences of this inevitable rise of technology are engraved in our… Read More »Blockchain Technology Optimizing Early Entrants in Education
The post Blockchain Technology Optimizing Early Entrants in Education appeared first on Data Science Central.
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In today’s digital world, data privacy and protection are increasingly important. Add in the complexity of remote teams, and you have a whole new ball game. It’s undeniable that remote work is favored by employees and now employers too, with 97% of workers. So it’s essential to implement a data privacy and protection strategy that… Read More »How to Implement a Data Privacy and Protection Strategy for Remote Teams
The post How to Implement a Data Privacy and Protection Strategy for Remote Teams appeared first on Data Science Central.
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In the fast-paced field of making the world’s tech devices, Pegatron Corp. initially harnessed AI to gain an edge. Now, it’s on the cusp of creating digital twins to further streamline its efficiency. Whether or not they’re familiar with the name, most people have probably used smartphones, tablets, Wi-Fi routers or other products that Taiwan-based Read article >
The post Smart Devices, Smart Manufacturing: Pegatron Taps AI, Digital Twins appeared first on NVIDIA Blog.
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Imagine driving a car — one without self-driving capabilities — to a mall, airport or parking garage, and using an app to have the car drive off to park itself. Software company Seoul Robotics is using NVIDIA technology to make this possible — turning non-autonomous cars into self-driving vehicles. Headquartered in Korea, the company’s initial Read article >
The post AI Shows the Way: Seoul Robotics Helps Cars Move, Park on Their Own appeared first on NVIDIA Blog.
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Many artists can edit a video, paint a picture or build a model — but transforming one’s imagination into stunning creations can now involve breakthrough design technologies. Kate Parsons, a digital art professor at Pepperdine University and this week’s featured In the NVIDIA Studio artist, helped bring a music video for How Do I Get to Invincible to life using virtual reality and NVIDIA GeForce RTX GPUs.
The post Digital Art Professor Kate Parsons Inspires Next Generation of Creators This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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* an epistemological approach
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Hi! We have opened up our new labeling AI tool to try for free. Their team pioneered the machine teaching concept and the approach allows you to automatically select and generate labels and create a model for labeling more data at the same time. Try it and let us know what you think.
-Intelus.ai
GeekWire: https://www.geekwire.com/2021/no-code-ai-former-microsoft-and-salesforce-execs-reveal-new-machine-teaching-startup-intelus/
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I wrote a blog post about finetuning GPT-3 on HN to determine whether a technical blog post is good or not, and also engineer prompts to GPT-3 to generate alternate titles which can then be ranked.
The code + demos is available open-source on GitHub, although the finetuned model isn't due to OpenAI rules/inability to share models.
(incidentally the post did well on Hacker News)
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Hi! We have just open-sourced our text annotator which runs directly in your notebook. You can now select spans of text for entity extraction and do your processing & modelling all in the same place. This allows for quick iteration when getting a project started. Here is the repository: https://github.com/dataqa/jupyter-annotate.
We would be very happy to hear any feedback or comments you might have!
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I'm training a VQGAN model on a custom dataset and over time I notice repeating artifacts that don't look like anything in the original images. How to interpret the occurrence of these artifacts, is it some sort of partial degradation of the network which leads to a particular part of the Generator firing more often and the Discriminator doesn't penalize it?
Example: https://imgur.com/cqZIJe6
Model: https://github.com/dome272/VQGAN-pytorch
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Hi r/MachineLearning,
I just published this video going over (and visualizing) this paper from 2020 that I can't stop thinking about. Hope you find it interesting.
https://www.youtube.com/watch?v=WQm7-X4gts4
Now that language models have been trained on massive internet-scale text data, where are future improvements going to come from? Jay goes over the "Experience Grounds Language" paper which describes five "World Scopes" for learning language -- including multimodality (e.g. training on images + text) and beyond.
Contents:
Introduction (0:00)
Experience Grounds Language (1:20)
World Scopes (2:58)
World Scope 1 and 2 (3:33)
World Scope 3 - Multimodality (3:56)
World Scope 4 - Embodiment and Action (7:00)
World Scope 5 - The Social World (9:50)
Reading Excerpts from the paper (10:48)
World scopes encompass each other (16:50)
Interesting thought experiments (19:42)
Conclusion (21:09)
Paper: Experience Grounds Language (2020) https://arxiv.org/abs/2004.10151
Authors: Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph Turian
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Today, we are excited to announce Promotions feature in Amazon Personalize that allows you to explicitly recommend specific items to your users based on rules that align with your business goals. For instance, you can have marketing partnerships that require you to promote certain brands, in-house content, or categories that you want to improve the […]
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Amazon SageMaker JumpStart solutions are a feature within Amazon SageMaker Studio that allow a simple-click experience to set up your own machine learning (ML) workflows. When you launch a solution, various of AWS resources are set up in your account to demonstrate how the business problem can be solved using the pre-built architecture. The solutions […]
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Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their day-to-day business processes. These documents contain critical information that are key to making decisions on time in order to maintain the highest levels of customer satisfaction, faster customer onboarding, and lower […]
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Extended security posture management keeps your data safe by helping IT teams to strengthen the security posture of an infrastructure.
The post Preventing Data Breaches with Extended Security Posture Management appeared first on Data Science Central.
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In the world of marketing, one of the most important aspects is content. Content can be anything from a blog post to an e-book or even an…
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They can be found here
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Dear fellow redditors.
Feel free to join us online (or F2F in Sydney, Australia) for a 2 days symposium on Creative AI.
We'll having great panel discussions with researchers and artists-creators from Canva, NVidia, UNSW and many others.
Event is free :)
More here: https://www.eventbrite.com.au/e/creative-ai-sydney-tickets-336053002577
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https://www.youtube.com/watch?v=1mTonZh5SGk
Enjoy!
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Looking at all of the very large convolutional neural networks such as ResNets, VGGs, and the like, it begs the question on how we can make all of these networks smaller with less parameters while still maintaining the same level of accuracy or even improving generalization of the model using a smaller amount of parameters. […]
The post Using Depthwise Separable Convolutions in Tensorflow appeared first on Machine Learning Mastery.
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Sponsored Post AI & Machine Learning now power most product experiences even beyond those of the big technology companies. Today, your models must perform and function correctly to ultimately deliver business value. The cost of deploying a slow or bad model, or not detecting undesirable behavior quickly, could significantly impact customer experience and the business’ […]
The post Mastering MLOps: Live Model Deployment & Inference Course with Stefan Krawczyk appeared first on Machine Learning Mastery.
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